Sebastopol, CA, United States of America

Chuang Wang

This inventor holds 1 USPTO granted patent. Top assignee: Doordash, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chuang Wang. Retrieved from https://idiyas.com/inventor/chuang-wang-ic0kgh1h

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Chuang Wang and His Patent for Autonomous Vehicle Validation.

Introduction

Chuang Wang is an inventor associated with Sebastopol, California. His patent work addresses how autonomous vehicle systems can be tested using variations of obstacles recorded in vehicle logs.

Latest Patents

Wang is associated with 1 patent: “High-Fidelity Variation of Detected Obstacles in Autonomous Vehicle Logs.” The method uses logged sensor data and event information to identify an obstacle and its parameters, then supplies actual or synthetic parameter values to a planner. During a rerun, the perception system detects the obstacle again, updates its parameter values, and provides them to the planner. The system then compares the resulting vehicle parameters to generate a validation result.

Career Highlights

Wang is associated with DoorDash, Inc. His patent describes a validation approach for autonomous vehicle perception and planning, including the use of synthetic obstacle variations to assess system behavior.

Collaborations

Wang’s listed coworker is Allison Liemhetcharat. The available information identifies the coworker but does not specify a particular joint patent or project.

Conclusion

Chuang Wang’s patent focuses on improving autonomous vehicle validation by varying detected obstacles in logged data and evaluating the resulting planner outputs.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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